4.7 Article

On the role of continuity in statistical nanoindentation of composite microstructures

Journal

JOURNAL OF THE AMERICAN CERAMIC SOCIETY
Volume 105, Issue 12, Pages 7676-7696

Publisher

WILEY
DOI: 10.1111/jace.18665

Keywords

cement; microstructure characterization; nanoindentation; statistical

Ask authors/readers for more resources

This study reevaluates the validity of the statistical nanoindentation technique for cementitious materials and provides evidence for the continuity assumption of the method. The results suggest that SNI may not be effective in measuring the mechanical properties of individual phases if they do not exhibit a continuous indent response.
The validity of the statistical nanoindentation (SNI) technique for cementitious materials has been questioned by numerous researchers; however, it is still a commonly used method in literature. This study revisits assumptions pertaining to continuum mechanics of the method by using a well-established selective SNI method to evaluate continuity in the mechanical response of each indent. Ordinary portland cement (OPC) was investigated alongside a two-phase aluminosilicate ceramic (Al-Si). Filtering for continuity of indents eliminated a majority of indents in each sample. The indents meeting continuity requirements in the OPC sample had moduli values in the range of documented calcium silicate hydrates and portlandite-the predominant hydration phases in OPC. In the Al-Si sample, 73% of continuous indents were assigned to a mullite phase, although the chemical analysis showed only 42% mullite. This was attributed to the embedded morphology of the mullite phase, which made it more susceptible to structural compliance. These observations suggest that SNI may be ineffective for measuring the mechanical properties of individual phases in a microstructure if they are not prolific enough to exhibit a continuous indent response. Discontinuous indents due to microstructural interaction between phases were also shown to have a potential influence on the number of clusters (i.e., phases) suggested by the deconvolution algorithms.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available